Senior Software Engineer - ML Operations

About the role

Symbotic is seeking a Senior ML Ops Engineer to join our Perception team. This role involves developing and maintaining real-time perception solutions, building scalable infrastructure, and deploying and monitoring ML models.

Responsibilities

• Implement and maintain state-of-the-art real-time perception solutions using Python, C++, Docker, and other modern tools.
• Build high-quality software in a dynamic, fast-paced environment.
• Understand business objectives and develop models that help achieve them, along with metrics to track progress.
• Create in-cloud infrastructure to process and gain insights into large datasets and machine learning models performance.
• Explore and visualize data to gain an understanding of it, then work with developers to curate and control training and testing data.
• Design and build dashboards and metrics to monitor perception solutions.
• Deploy models using state-of-the-art ML infrastructure and quickly analyze and refine model output.
• Collaborate with the Perception team and with other teams to drive best practices and improve quality standards.
• Write requirements and documentation for peers and for leadership to drive implementation and establish short- and long-term development and gains.

Requirements

• A minimum of Master’s degree in a related discipline (Computer Science, Electrical Engineering, Mechanical Engineering, Mathematics, etc.).
• Minimum of 6 years of professional experience developing software applications and deploying on AWS/GCP/Azure.
• A good grasp of CI/CD pipelines, Docker, Kubernetes, and IaC (Infrastructure-as-code) tools like Terraform, CloudFormation, and Helm.
• Experience working with relational and non-relational databases, data warehousing, and data streaming frameworks.
• Familiarity with concepts like firewalls, encryption, VIPs.
• Experience deploying and monitoring ML models at scale.
• Be easy to collaborate with, flexible in thinking, and have a sense of humor.
• Solid software engineering skills with an expertise in at least one language and its associated stack.

Plus

• Experience implementing portable solutions using containers both in cloud and on edge.
• Experience with ML cloud computing models and tools (WandB, TFX, TensorBoard, KFP, etc.).
• Leadership: Own a perception sub-system.

Leadership

• The ideal candidate will own a perception sub-system.
• Be easy to collaborate with, flexible in thinking, and have a good sense of humor.

What We Offer

• Up to 10% travel may be required.
• Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.
• The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.
• Compensation range: $149,000.00 - $204,600.00.
• Benefits include medical, dental, vision, disability, 401K, PTO, and/or other benefits.